training-loop-build-rust.yml

# .github/workflows/build.yml
name: "Training Loop: Build Rust Binary"

on:
  # pull_request:
  #  branches:
  #    - main
  release:
    types: [created]

jobs:
  
  build:
    name: Build
    runs-on: local
    container:
      image: ghcr.io/digital-defiance/sentiment-analysis-pipeline:main
    steps:
      - run: apt update && apt install curl -y
      - uses: actions/checkout@master
      - uses: dtolnay/rust-toolchain@stable
      - run: apt install libssh-dev -y
      - run: apt install pkg-config -y
      - name: Find and set torch lib path
        run: |
          SITE_PACKAGES=$(python -c "import site; print(site.getsitepackages()[0])")
          TORCH_LIB_PATH="${SITE_PACKAGES}/torch/lib"
          echo "LD_LIBRARY_PATH=$TORCH_LIB_PATH" >> $GITHUB_ENV
          echo "LIBTORCH_USE_PYTORCH=1" >> $GITHUB_ENV
          echo "RUST_BACKTRACE=full" >> $GITHUB_ENV

      - run: cargo check
      - run: cargo test
      - if: ${{ github.event_name == 'release' }}
        run: cargo build --release --target-dir build
      - if:  ${{ github.event_name == 'release' }}
        name: Upload artifact to release
        uses: actions/upload-release-asset@v1
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        with:
          upload_url: ${{ github.event.release.upload_url }}
          asset_path: ./build/release/llm-voice-chat
          asset_name: llm-voice-chat
          asset_content_type: application/octet-stream